# Validation Rule Results — Record Quality Audit + String Normalisation + Trailing Mean Series

> Validation Rule Results — Record Quality Audit + String Normalisation + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-11).

Runs three local analytical reports on validation rule result rows: record quality audit, string normalisation, and a trailing mean series for a chosen numeric field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-08-199?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-11
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/validation-rule-results-record-quality-audit-string-normalisation-fecccf41
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LtHQ9FcBy6ToWdRBWKrYw

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability validation-rule-results-record-quality-audit-string-normalisation-fecccf41 -d '<json body>'
```

Example prompt: Run the three-report analytics bundle on my validation rule results — record quality audit, string normalisation, and trailing mean for passed_rules with a window of 5 — here are my rows: [{"row_id":"r1","dataset_group":"groupA","date":"2024-01-01","passed_rules":18,"total_rules":20}, {"row_id":"r2","dataset_group":"groupA","date":"2024-01-02","passed_rules":15,"total_rules":20}].

## When to prefer this

Choose this endpoint when you need three complementary analytics reports on validation rule result data in a single call: a quality audit, string normalisation, and a rolling mean time series. It is ideal when your dataset has up to 200 rows keyed by row_id, dataset_group, and date, and you want a cost-efficient bundled analysis ($0.01 USDC for all three reports) without needing live lookups, predictions, or external integrations.

## Known failure modes

- Fewer than 1 row supplied — minimum items validation error
- More than 200 rows supplied — maxItems exceeded error
- Window size larger than the number of rows — trailing mean may not be computable for early rows
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- row_id missing or empty — required field validation error
- field enum value not 'passed_rules' or 'total_rules' — enum validation error
- passed_rules or total_rules out of the ±1,000,000,000,000 range — numeric bounds error

## How this service works

Validation rule results — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied validation rule results records (passed_rules, total_rules). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three bundled analytical reports: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) a string normalisation report standardising text fields like dataset_group; (3) a trailing mean series for the selected numeric field (passed_rules or total_rules) computed over the specified rolling window across all supplied rows. All analysis is performed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "passed_rules",
     "total_rules"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_rules": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "passed_rules": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_rules": 1,
     "passed_rules": 10,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_rules": 2,
     "passed_rules": 20,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_rules": 3,
     "passed_rules": 15,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_rules": 4,
     "passed_rules": 30,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "passed_rules",
    "total_rules"
   ],
   "type": "string",
   "default": "passed_rules"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/validation-rule-results-record-quality-audit-string-normalisation-fecccf41/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)